(Remote Work) Staff Software Engineer, Event Logging – Airbnb

Job Overview

• Job Title Staff Software Engineer, Event Logging
• Hiring Organization Airbnb
• Company Website https://www.airbnb.com/
• Remote Locations US
• Job Type  Remote, Full-Time

The Event Logging team is responsible for Airbnb’s logging infrastructure, ensuring every digital interaction is accurately captured, securely stored, effectively managed, and readily accessible. We establish logging tooling and standards, optimize ingestion and storage of event data, and enable seamless production and consumption of high quality data—both in real-time online systems and offline analytical workflows.

Event Logging engineers collaborate closely with cross-functional partners across Product, Analytics, AI/ML, and more to empower teams to derive timely insights and build advanced products and services that enhance user experiences and drive business growth. Our team values innovation, continuous learning, and technical excellence. As part of the Event Logging team, you’ll have opportunities to work on challenging problems at scale and grow your skills in data engineering and distributed systems.

The Difference You Will Make:

As a Staff Software Engineer on the Event Logging team, you will lead critical initiatives that shape how Airbnb captures, processes, and leverages event data at scale, including:

Designing and implementing next-generation logging systems that process billions of events daily Driving architectural decisions that ensure data integrity, efficiency, and compliance across Airbnb’s data platform Building robust infrastructure that powers data-driven decision-making across the organization Defining and executing the technical roadmap for Airbnb’s logging infrastructure Unlocking new capabilities through improved event logging for cross-functional teams Driving adoption of logging best practices across engineering teams

Job Responsibilities

• Contributing to the development of long-term strategies and roadmaps, and influencing the technical direction of our logging infrastructure
• Architecting scalable solutions for real-time and batch event processing
• Driving technical discussions and decision-making across teams
• Designing and implementing robust data governance systems ensuring proper event ownership and lineage
• Optimizing event ingestion pipelines handling billions of events per day
• Collaborating with cross-functional teams to gather requirements, assess logging needs, and design efficient solutions that align with business objectives
• Identifying and implementing automation opportunities to improve logging efficiency
• Mentoring and coaching team members, providing guidance and support to enhance their skills and performance

Job Requirements

• 9+ years of experience with a BS/Masters or 6+ years with a PhD
• Deep expertise in backend programming languages (Java, Kotlin, Scala, or Python)
• Proven experience with real-time event processing systems, particularly with large-scale distributed data processing frameworks like Spark or Flink and messaging frameworks like Kafka
• Hands-on experience with modern ETL frameworks like Airflow
• Understanding of data security, privacy principles, and regulatory compliance (GDPR, CCPA)
• Knowledge of observability and monitoring best practices
• Track record of translating complex business requirements into scalable technical solutions
• Excellent communication skills with ability to influence both technical and business stakeholders
• Experience building trusted partnerships across diverse teams
• Strong mentorship and technical leadership capabilities

Preferred Qualifications:

• Background in data governance and schema management
• Experience with high-throughput data pipelines

How To Apply

Click “Apply” below to fill in the application form!